| begin_batch() | network | |
| begin_ssab() | network | |
| compute(const float *input, float *output) | network | |
| compute_average_error(const float *target) const | network | |
| compute_max_error(const float *target) const | network | |
| compute_output_error(const float *target) | network | |
| compute_quadratic_error(const float *target) const | network | |
| count_weights() const | network | |
| end_batch() | network | |
| end_batch_ssab() | network | |
| free_ssab() | network | |
| friendly_print(const bool show=false) const | network | |
| get_activation() const | network | [inline] |
| get_learning_rate() const | network | [inline] |
| get_max_learning_rate() | network | [inline] |
| get_min_learning_rate() | network | [inline] |
| get_momentum() const | network | [inline] |
| get_no_of_inputs() const | network | [inline] |
| get_no_of_layers() const | network | [inline] |
| get_no_of_neurons(int l) const | network | |
| get_no_of_outputs() const | network | [inline] |
| get_no_of_patterns() const | network | [inline] |
| get_output_error() const | network | [inline] |
| get_ssab_down_factor() | network | [inline] |
| get_ssab_up_factor() | network | [inline] |
| get_weight(int l, int nl, int nu) const | network | |
| is_ssab_active() const | network | [inline] |
| jolt(float factor, float range) | network | |
| load(const char *filename) | network | |
| load_ssab(const char *filename) | network | |
| LOGISTIC | network | [static] |
| network(int activ, int no_of_layers,...) | network | |
| network(int activ, vector< int > layers) | network | |
| network(const char *filename, bool binary=true) | network | |
| network(const network &b) | network | |
| operator<<(ostream &, const network &) | network | [friend] |
| operator=(const network &b) | network | |
| print() const | network | |
| randomize(float range) | network | |
| reset_ssab() | network | |
| save(const char *filename) const | network | |
| save_ssab(const char *filename) const | network | |
| set_activation(int num_func) | network | |
| set_learning_rate(float learning_rate) | network | [inline] |
| set_max_learning_rate(float max) | network | |
| set_min_learning_rate(float min) | network | |
| set_momentum(float momentum) | network | [inline] |
| set_ssab_down_factor(float factor) | network | [inline] |
| set_ssab_up_factor(float factor) | network | [inline] |
| ssab_print_nus() const | network | |
| ssab_stats(float &average, float &max, float &min, int &n_max, int &n_min) | network | |
| TANH | network | [static] |
| textload(const char *filename) | network | |
| textsave(const char *filename) const | network | |
| train() | network | |
| train_batch() | network | |
| train_ssab() | network | |
| ~network() | network | |
